My report

Dataset statistics

Number of variables	15
Number of observations	850
Missing cells	2540
Missing cells (%)	19.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	99.7 KiB
Average record size in memory	120.2 B

Variable types

Numeric	8
Categorical	7

Alerts

`name` has a high cardinality: 849 distinct values	High cardinality
`ticket` has a high cardinality: 660 distinct values	High cardinality
`cabin` has a high cardinality: 135 distinct values	High cardinality
`home.dest` has a high cardinality: 272 distinct values	High cardinality
`passenger_id` is highly correlated with `pclass` and 1 other fields	High correlation
`pclass` is highly correlated with `passenger_id` and 3 other fields	High correlation
`fare` is highly correlated with `pclass` and 1 other fields	High correlation
`sex` is highly correlated with `survived`	High correlation
`embarked` is highly correlated with `pclass` and 1 other fields	High correlation
`boat` is highly correlated with `passenger_id` and 3 other fields	High correlation
`survived` is highly correlated with `sex`	High correlation
`age` has 174 (20.5%) missing values	Missing
`cabin` has 659 (77.5%) missing values	Missing
`boat` has 542 (63.8%) missing values	Missing
`body` has 777 (91.4%) missing values	Missing
`home.dest` has 386 (45.4%) missing values	Missing
`name` is uniformly distributed	Uniform
`ticket` is uniformly distributed	Uniform
`cabin` is uniformly distributed	Uniform
`passenger_id` has unique values	Unique
`sibsp` has 573 (67.4%) zeros	Zeros
`parch` has 651 (76.6%) zeros	Zeros
`fare` has 11 (1.3%) zeros	Zeros
`survived` has 537 (63.2%) zeros	Zeros

Reproduction

Analysis started	2022-11-02 10:46:14.203333
Analysis finished	2022-11-02 10:46:33.861198
Duration	19.66 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

passenger_id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	850
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	662.8164706

Minimum	1
Maximum	1307
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	1
5-th percentile	59.9
Q1	332.25
median	676.5
Q3	992.25
95-th percentile	1240.55
Maximum	1307
Range	1306
Interquartile range (IQR)	660

Descriptive statistics

Standard deviation	380.7519362
Coefficient of variation (CV)	0.5744454961
Kurtosis	-1.20606183
Mean	662.8164706
Median Absolute Deviation (MAD)	328
Skewness	-0.05290275353
Sum	563394
Variance	144972.0369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1216	1	0.1%
802	1	0.1%
675	1	0.1%
1118	1	0.1%
1247	1	0.1%
567	1	0.1%
790	1	0.1%
711	1	0.1%
985	1	0.1%
1174	1	0.1%
Other values (840)	840	98.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
8	1	0.1%
10	1	0.1%
11	1	0.1%
12	1	0.1%
13	1	0.1%

Value	Count	Frequency (%)
1307	1	0.1%
1306	1	0.1%
1304	1	0.1%
1303	1	0.1%
1302	1	0.1%
1301	1	0.1%
1300	1	0.1%
1299	1	0.1%
1298	1	0.1%
1294	1	0.1%

pclass
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.32

Minimum	1
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	3
95-th percentile	3
Maximum	3
Range	2
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8385303201
Coefficient of variation (CV)	0.3614354828
Kurtosis	-1.260690632
Mean	2.32
Median Absolute Deviation (MAD)	0
Skewness	-0.6586707312
Sum	1972
Variance	0.7031330978
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=3)

Value	Count	Frequency (%)
3	478	56.2%
1	206	24.2%
2	166	19.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	206	24.2%
2	166	19.5%
3	478	56.2%

Value	Count	Frequency (%)
3	478	56.2%
2	166	19.5%
1	206	24.2%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	849
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

Kelly, Mr. James	2
Smyth, Miss. Julia	1
Flynn, Mr. John	1
Birkeland, Mr. Hans Martin Monsen	1
Peltomaki, Mr. Nikolai Johannes	1
Other values (844)	844

Length

Max length	82
Median length	53
Mean length	26.88235294
Min length	12

Characters and Unicode

Total characters	22850
Distinct characters	60
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	848 ?
Unique (%)	99.8%

Sample

1st row	Smyth, Miss. Julia
2nd row	Cacic, Mr. Luka
3rd row	Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)
4th row	Hocking, Mrs. Elizabeth (Eliza Needs)
5th row	Veal, Mr. James

Common Values

Value	Count	Frequency (%)
Kelly, Mr. James	2	0.2%
Smyth, Miss. Julia	1	0.1%
Flynn, Mr. John	1	0.1%
Birkeland, Mr. Hans Martin Monsen	1	0.1%
Peltomaki, Mr. Nikolai Johannes	1	0.1%
Thorneycroft, Mrs. Percival (Florence Kate White)	1	0.1%
Stokes, Mr. Philip Joseph	1	0.1%
Elias, Mr. Joseph	1	0.1%
Carver, Mr. Alfred John	1	0.1%
Madsen, Mr. Fridtjof Arne	1	0.1%
Other values (839)	839	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mr	492	14.2%
miss	171	5.0%
mrs	124	3.6%
william	51	1.5%
master	46	1.3%
john	45	1.3%
henry	27	0.8%
james	24	0.7%
thomas	23	0.7%
george	22	0.6%
Other values (1466)	2428	70.3%

Most occurring characters

Value	Count	Frequency (%)
	2606	11.4%
r	1872	8.2%
e	1634	7.2%
a	1564	6.8%
s	1261	5.5%
i	1238	5.4%
n	1228	5.4%
M	1059	4.6%
l	990	4.3%
o	972	4.3%
Other values (50)	8426	36.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14692	64.3%
Uppercase Letter	3475	15.2%
Space Separator	2606	11.4%
Other Punctuation	1793	7.8%
Close Punctuation	136	0.6%
Open Punctuation	136	0.6%
Dash Punctuation	12	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	1872	12.7%
e	1634	11.1%
a	1564	10.6%
s	1261	8.6%
i	1238	8.4%
n	1228	8.4%
l	990	6.7%
o	972	6.6%
t	651	4.4%
h	495	3.4%
Other values (16)	2787	19.0%

Uppercase Letter

Value	Count	Frequency (%)
M	1059	30.5%
A	235	6.8%
J	214	6.2%
H	176	5.1%
C	175	5.0%
S	174	5.0%
E	173	5.0%
W	140	4.0%
B	134	3.9%
L	123	3.5%
Other values (15)	872	25.1%

Other Punctuation

Value	Count	Frequency (%)
.	851	47.5%
,	850	47.4%
"	84	4.7%
'	7	0.4%
/	1	0.1%

Space Separator

Value	Count	Frequency (%)
	2606	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	136	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	136	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18167	79.5%
Common	4683	20.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	1872	10.3%
e	1634	9.0%
a	1564	8.6%
s	1261	6.9%
i	1238	6.8%
n	1228	6.8%
M	1059	5.8%
l	990	5.4%
o	972	5.4%
t	651	3.6%
Other values (41)	5698	31.4%

Common

Value	Count	Frequency (%)
	2606	55.6%
.	851	18.2%
,	850	18.2%
)	136	2.9%
(	136	2.9%
"	84	1.8%
-	12	0.3%
'	7	0.1%
/	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22850	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2606	11.4%
r	1872	8.2%
e	1634	7.2%
a	1564	6.8%
s	1261	5.5%
i	1238	5.4%
n	1228	5.4%
M	1059	4.6%
l	990	4.3%
o	972	4.3%
Other values (50)	8426	36.9%

sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

male	551
female	299

Length

Max length	6
Median length	4
Mean length	4.703529412
Min length	4

Characters and Unicode

Total characters	3998
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	female
4th row	female
5th row	male

Common Values

Value	Count	Frequency (%)
male	551	64.8%
female	299	35.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	551	64.8%
female	299	35.2%

Most occurring characters

Value	Count	Frequency (%)
e	1149	28.7%
m	850	21.3%
a	850	21.3%
l	850	21.3%
f	299	7.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3998	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1149	28.7%
m	850	21.3%
a	850	21.3%
l	850	21.3%
f	299	7.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3998	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1149	28.7%
m	850	21.3%
a	850	21.3%
l	850	21.3%
f	299	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	1149	28.7%
m	850	21.3%
a	850	21.3%
l	850	21.3%
f	299	7.5%

age
Real number (ℝ_≥0)

MISSING

Distinct	88
Distinct (%)	13.0%
Missing	174
Missing (%)	20.5%
Infinite	0
Infinite (%)	0.0%
Mean	29.51984719

Minimum	0.1667
Maximum	80
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0.1667
5-th percentile	4
Q1	20
median	28
Q3	37
95-th percentile	57
Maximum	80
Range	79.8333
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	14.56224343
Coefficient of variation (CV)	0.4933034829
Kurtosis	0.1778536956
Mean	29.51984719
Median Absolute Deviation (MAD)	8
Skewness	0.4582167135
Sum	19955.4167
Variance	212.0589338
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18	32	3.8%
30	30	3.5%
24	29	3.4%
22	28	3.3%
25	26	3.1%
36	25	2.9%
28	24	2.8%
21	24	2.8%
29	19	2.2%
32	19	2.2%
Other values (78)	420	49.4%
(Missing)	174	20.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1667	1	0.1%
0.4167	1	0.1%
0.6667	1	0.1%
0.75	1	0.1%
0.8333	3	0.4%
0.9167	1	0.1%
1	4	0.5%
2	10	1.2%
3	6	0.7%
4	7	0.8%

Value	Count	Frequency (%)
80	1	0.1%
76	1	0.1%
74	1	0.1%
70	2	0.2%
67	1	0.1%
65	2	0.2%
64	3	0.4%
63	2	0.2%
62	3	0.4%
61	3	0.4%

sibsp
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5223529412

Minimum	0
Maximum	8
Zeros	573
Zeros (%)	67.4%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	8
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.112132097
Coefficient of variation (CV)	2.129081718
Kurtosis	20.01527311
Mean	0.5223529412
Median Absolute Deviation (MAD)	0
Skewness	3.937364703
Sum	444
Variance	1.236837802
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	573	67.4%
1	213	25.1%
2	25	2.9%
4	14	1.6%
3	12	1.4%
8	8	0.9%
5	5	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	573	67.4%
1	213	25.1%
2	25	2.9%
3	12	1.4%
4	14	1.6%
5	5	0.6%
8	8	0.9%

Value	Count	Frequency (%)
8	8	0.9%
5	5	0.6%
4	14	1.6%
3	12	1.4%
2	25	2.9%
1	213	25.1%
0	573	67.4%

parch
Real number (ℝ_≥0)

ZEROS

Distinct	8
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3823529412

Minimum	0
Maximum	9
Zeros	651
Zeros (%)	76.6%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	9
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8795111168
Coefficient of variation (CV)	2.300259844
Kurtosis	26.54875593
Mean	0.3823529412
Median Absolute Deviation (MAD)	0
Skewness	4.05758874
Sum	325
Variance	0.7735398046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
0	651	76.6%
1	113	13.3%
2	72	8.5%
4	5	0.6%
3	3	0.4%
5	3	0.4%
9	2	0.2%
6	1	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	651	76.6%
1	113	13.3%
2	72	8.5%
3	3	0.4%
4	5	0.6%
5	3	0.4%
6	1	0.1%
9	2	0.2%

Value	Count	Frequency (%)
9	2	0.2%
6	1	0.1%
5	3	0.4%
4	5	0.6%
3	3	0.4%
2	72	8.5%
1	113	13.3%
0	651	76.6%

ticket
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	660
Distinct (%)	77.6%
Missing	0
Missing (%)	0.0%
Memory size	6.8 KiB

CA. 2343	10
1601	8
S.O.C. 14879	6
CA 2144	6
PC 17608	6
Other values (655)	814

Length

Max length	18
Median length	17
Mean length	6.742352941
Min length	3

Characters and Unicode

Total characters	5731
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	542 ?
Unique (%)	63.8%

Sample

1st row	335432
2nd row	315089
3rd row	345773
4th row	29105
5th row	28221

Common Values

Value	Count	Frequency (%)
CA. 2343	10	1.2%
1601	8	0.9%
S.O.C. 14879	6	0.7%
CA 2144	6	0.7%
PC 17608	6	0.7%
347082	6	0.7%
113503	5	0.6%
382652	5	0.6%
113781	5	0.6%
113760	4	0.5%
Other values (650)	789	92.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
pc	58	5.4%
c.a	31	2.9%
ca	17	1.6%
a/5	17	1.6%
2343	10	0.9%
soton/o.q	10	0.9%
sc/paris	10	0.9%
w./c	9	0.8%
1601	8	0.7%
2	8	0.7%
Other values (686)	903	83.5%

Most occurring characters

Value	Count	Frequency (%)
3	742	12.9%
1	637	11.1%
2	557	9.7%
7	455	7.9%
4	417	7.3%
6	414	7.2%
0	397	6.9%
5	383	6.7%
9	300	5.2%
8	273	4.8%
Other values (25)	1156	20.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4575	79.8%
Uppercase Letter	614	10.7%
Other Punctuation	291	5.1%
Space Separator	231	4.0%
Lowercase Letter	20	0.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	159	25.9%
A	91	14.8%
O	86	14.0%
P	84	13.7%
S	63	10.3%
N	34	5.5%
T	31	5.0%
Q	17	2.8%
W	13	2.1%
I	10	1.6%
Other values (6)	26	4.2%

Decimal Number

Value	Count	Frequency (%)
3	742	16.2%
1	637	13.9%
2	557	12.2%
7	455	9.9%
4	417	9.1%
6	414	9.0%
0	397	8.7%
5	383	8.4%
9	300	6.6%
8	273	6.0%

Lowercase Letter

Value	Count	Frequency (%)
s	5	25.0%
a	5	25.0%
r	4	20.0%
i	4	20.0%
l	1	5.0%
e	1	5.0%

Other Punctuation

Value	Count	Frequency (%)
.	203	69.8%
/	88	30.2%

Space Separator

Value	Count	Frequency (%)
	231	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5097	88.9%
Latin	634	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	159	25.1%
A	91	14.4%
O	86	13.6%
P	84	13.2%
S	63	9.9%
N	34	5.4%
T	31	4.9%
Q	17	2.7%
W	13	2.1%
I	10	1.6%
Other values (12)	46	7.3%

Common

Value	Count	Frequency (%)
3	742	14.6%
1	637	12.5%
2	557	10.9%
7	455	8.9%
4	417	8.2%
6	414	8.1%
0	397	7.8%
5	383	7.5%
9	300	5.9%
8	273	5.4%
Other values (3)	522	10.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5731	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	742	12.9%
1	637	11.1%
2	557	9.7%
7	455	7.9%
4	417	7.3%
6	414	7.2%
0	397	6.9%
5	383	6.7%
9	300	5.2%
8	273	4.8%
Other values (25)	1156	20.2%

fare
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	236
Distinct (%)	27.8%
Missing	1
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	34.01270094

Minimum	0
Maximum	512.3292
Zeros	11
Zeros (%)	1.3%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	7.225
Q1	7.8958
median	14.1083
Q3	31
95-th percentile	134.5
Maximum	512.3292
Range	512.3292
Interquartile range (IQR)	23.1042

Descriptive statistics

Standard deviation	53.70577927
Coefficient of variation (CV)	1.5789919
Kurtosis	26.1104364
Mean	34.01270094
Median Absolute Deviation (MAD)	6.6125
Skewness	4.308892269
Sum	28876.7831
Variance	2884.310727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	42	4.9%
8.05	40	4.7%
7.75	39	4.6%
7.8958	32	3.8%
26	29	3.4%
7.2292	20	2.4%
7.775	19	2.2%
10.5	19	2.2%
7.8542	15	1.8%
26.55	15	1.8%
Other values (226)	579	68.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	1.3%
3.1708	1	0.1%
4.0125	1	0.1%
6.2375	1	0.1%
6.4375	3	0.4%
6.45	1	0.1%
6.4958	1	0.1%
6.75	2	0.2%
6.8583	1	0.1%
6.95	1	0.1%

Value	Count	Frequency (%)
512.3292	3	0.4%
263	3	0.4%
262.375	6	0.7%
247.5208	1	0.1%
227.525	4	0.5%
221.7792	3	0.4%
211.5	5	0.6%
211.3375	2	0.2%
164.8667	3	0.4%
153.4625	2	0.2%

cabin
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	135
Distinct (%)	70.7%
Missing	659
Missing (%)	77.5%
Memory size	6.8 KiB

B57 B59 B63 B66	4
D	4
C22 C26	4
B96 B98	4
G6	4
Other values (130)	171

Length

Max length	15
Median length	3
Mean length	3.832460733
Min length	1

Characters and Unicode

Total characters	732
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	94 ?
Unique (%)	49.2%

Sample

1st row	C82
2nd row	D15
3rd row	C50
4th row	E33
5th row	B57 B59 B63 B66

Common Values

Value	Count	Frequency (%)
B57 B59 B63 B66	4	0.5%
D	4	0.5%
C22 C26	4	0.5%
B96 B98	4	0.5%
G6	4	0.5%
F33	3	0.4%
C23 C25 C27	3	0.4%
A34	3	0.4%
C78	3	0.4%
C101	3	0.4%
Other values (125)	156	18.4%
(Missing)	659	77.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
f	5	2.1%
b57	4	1.7%
c26	4	1.7%
g6	4	1.7%
b98	4	1.7%
b96	4	1.7%
b59	4	1.7%
c22	4	1.7%
b66	4	1.7%
b63	4	1.7%
Other values (142)	194	82.6%

Most occurring characters

Value	Count	Frequency (%)
C	76	10.4%
B	69	9.4%
2	68	9.3%
3	63	8.6%
1	57	7.8%
6	56	7.7%
5	50	6.8%
	44	6.0%
4	38	5.2%
8	33	4.5%
Other values (9)	178	24.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	453	61.9%
Uppercase Letter	235	32.1%
Space Separator	44	6.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	68	15.0%
3	63	13.9%
1	57	12.6%
6	56	12.4%
5	50	11.0%
4	38	8.4%
8	33	7.3%
9	30	6.6%
7	30	6.6%
0	28	6.2%

Uppercase Letter

Value	Count	Frequency (%)
C	76	32.3%
B	69	29.4%
D	31	13.2%
E	27	11.5%
F	12	5.1%
A	12	5.1%
G	7	3.0%
T	1	0.4%

Space Separator

Value	Count	Frequency (%)
	44	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	497	67.9%
Latin	235	32.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	68	13.7%
3	63	12.7%
1	57	11.5%
6	56	11.3%
5	50	10.1%
	44	8.9%
4	38	7.6%
8	33	6.6%
9	30	6.0%
7	30	6.0%

Latin

Value	Count	Frequency (%)
C	76	32.3%
B	69	29.4%
D	31	13.2%
E	27	11.5%
F	12	5.1%
A	12	5.1%
G	7	3.0%
T	1	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	732	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	76	10.4%
B	69	9.4%
2	68	9.3%
3	63	8.6%
1	57	7.8%
6	56	7.7%
5	50	6.8%
	44	6.0%
4	38	5.2%
8	33	4.5%
Other values (9)	178	24.3%

embarked
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.4%
Missing	1
Missing (%)	0.1%
Memory size	6.8 KiB

S	589
C	176
Q	84

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	849
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Q
2nd row	S
3rd row	S
4th row	S
5th row	S

Common Values

Value	Count	Frequency (%)
S	589	69.3%
C	176	20.7%
Q	84	9.9%
(Missing)	1	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
s	589	69.4%
c	176	20.7%
q	84	9.9%

Most occurring characters

Value	Count	Frequency (%)
S	589	69.4%
C	176	20.7%
Q	84	9.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	849	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	589	69.4%
C	176	20.7%
Q	84	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	849	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	589	69.4%
C	176	20.7%
Q	84	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	589	69.4%
C	176	20.7%
Q	84	9.9%

boat
Categorical

HIGH CORRELATION
MISSING

Distinct	26
Distinct (%)	8.4%
Missing	542
Missing (%)	63.8%
Memory size	6.8 KiB

4	25
C	24
13	23
14	23
15	19
Other values (21)	194

Length

Max length	7
Median length	1
Mean length	1.487012987
Min length	1

Characters and Unicode

Total characters	458
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	1.6%

Sample

1st row	13
2nd row	4
3rd row	10
4th row	C
5th row	8

Common Values

Value	Count	Frequency (%)
4	25	2.9%
C	24	2.8%
13	23	2.7%
14	23	2.7%
15	19	2.2%
10	18	2.1%
16	18	2.1%
9	18	2.1%
11	16	1.9%
3	16	1.9%
Other values (16)	108	12.7%
(Missing)	542	63.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c	26	8.2%
4	25	7.9%
13	25	7.9%
14	23	7.3%
15	22	7.0%
16	19	6.0%
9	19	6.0%
10	18	5.7%
d	16	5.1%
11	16	5.1%
Other values (10)	107	33.9%

Most occurring characters

Value	Count	Frequency (%)
1	152	33.2%
4	48	10.5%
3	41	9.0%
5	36	7.9%
6	31	6.8%
C	26	5.7%
2	20	4.4%
9	19	4.1%
0	18	3.9%
D	16	3.5%
Other values (5)	51	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	393	85.8%
Uppercase Letter	57	12.4%
Space Separator	8	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	152	38.7%
4	48	12.2%
3	41	10.4%
5	36	9.2%
6	31	7.9%
2	20	5.1%
9	19	4.8%
0	18	4.6%
7	15	3.8%
8	13	3.3%

Uppercase Letter

Value	Count	Frequency (%)
C	26	45.6%
D	16	28.1%
A	10	17.5%
B	5	8.8%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	401	87.6%
Latin	57	12.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	152	37.9%
4	48	12.0%
3	41	10.2%
5	36	9.0%
6	31	7.7%
2	20	5.0%
9	19	4.7%
0	18	4.5%
7	15	3.7%
8	13	3.2%

Latin

Value	Count	Frequency (%)
C	26	45.6%
D	16	28.1%
A	10	17.5%
B	5	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	458	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	152	33.2%
4	48	10.5%
3	41	9.0%
5	36	7.9%
6	31	6.8%
C	26	5.7%
2	20	4.4%
9	19	4.1%
0	18	3.9%
D	16	3.5%
Other values (5)	51	11.1%

body
Real number (ℝ_≥0)

MISSING

Distinct	73
Distinct (%)	100.0%
Missing	777
Missing (%)	91.4%
Infinite	0
Infinite (%)	0.0%
Mean	165.8219178

Minimum	4
Maximum	328
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	4
5-th percentile	15.2
Q1	75
median	166
Q3	260
95-th percentile	310.2
Maximum	328
Range	324
Interquartile range (IQR)	185

Descriptive statistics

Standard deviation	99.06848676
Coefficient of variation (CV)	0.5974390362
Kurtosis	-1.269968259
Mean	165.8219178
Median Absolute Deviation (MAD)	94
Skewness	0.03894268679
Sum	12105
Variance	9814.565068
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
155	1	0.1%
81	1	0.1%
234	1	0.1%
7	1	0.1%
269	1	0.1%
75	1	0.1%
236	1	0.1%
108	1	0.1%
327	1	0.1%
96	1	0.1%
Other values (63)	63	7.4%
(Missing)	777	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	0.1%
7	1	0.1%
9	1	0.1%
14	1	0.1%
16	1	0.1%
19	1	0.1%
32	1	0.1%
37	1	0.1%
38	1	0.1%
45	1	0.1%

Value	Count	Frequency (%)
328	1	0.1%
327	1	0.1%
314	1	0.1%
312	1	0.1%
309	1	0.1%
307	1	0.1%
306	1	0.1%
305	1	0.1%
304	1	0.1%
295	1	0.1%

home.dest
Categorical

HIGH CARDINALITY
MISSING

Distinct	272
Distinct (%)	58.6%
Missing	386
Missing (%)	45.4%
Memory size	6.8 KiB

New York, NY	36
Cornwall / Akron, OH	7
London	7
Wiltshire, England Niagara Falls, NY	6
Montreal, PQ	6
Other values (267)	402

Length

Max length	50
Median length	38.5
Mean length	19.29310345
Min length	5

Characters and Unicode

Total characters	8952
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	180 ?
Unique (%)	38.8%

Sample

1st row	Croatia
2nd row	Cornwall / Akron, OH
3rd row	Barre, Co Washington, VT
4th row	Finland / Washington, DC
5th row	Elkins Park, PA

Common Values

Value	Count	Frequency (%)
New York, NY	36	4.2%
Cornwall / Akron, OH	7	0.8%
London	7	0.8%
Wiltshire, England Niagara Falls, NY	6	0.7%
Montreal, PQ	6	0.7%
Sweden Winnipeg, MN	6	0.7%
Philadelphia, PA	6	0.7%
Brooklyn, NY	5	0.6%
Bryn Mawr, PA	4	0.5%
Ireland New York, NY	4	0.5%
Other values (262)	377	44.4%
(Missing)	386	45.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ny	104	7.1%
	103	7.0%
new	72	4.9%
york	67	4.5%
england	65	4.4%
pa	30	2.0%
london	26	1.8%
sweden	25	1.7%
nj	21	1.4%
il	20	1.4%
Other values (361)	942	63.9%

Most occurring characters

Value	Count	Frequency (%)
	1014	11.3%
n	651	7.3%
o	576	6.4%
a	547	6.1%
e	543	6.1%
,	535	6.0%
r	482	5.4%
l	362	4.0%
i	346	3.9%
t	316	3.5%
Other values (45)	3580	40.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5532	61.8%
Uppercase Letter	1748	19.5%
Space Separator	1014	11.3%
Other Punctuation	641	7.2%
Dash Punctuation	17	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	262	15.0%
Y	177	10.1%
S	123	7.0%
M	115	6.6%
C	108	6.2%
P	102	5.8%
A	101	5.8%
I	95	5.4%
B	86	4.9%
E	85	4.9%
Other values (15)	494	28.3%

Lowercase Letter

Value	Count	Frequency (%)
n	651	11.8%
o	576	10.4%
a	547	9.9%
e	543	9.8%
r	482	8.7%
l	362	6.5%
i	346	6.3%
t	316	5.7%
d	268	4.8%
s	214	3.9%
Other values (14)	1227	22.2%

Other Punctuation

Value	Count	Frequency (%)
,	535	83.5%
/	104	16.2%
'	1	0.2%
?	1	0.2%

Space Separator

Value	Count	Frequency (%)
	1014	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7280	81.3%
Common	1672	18.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	651	8.9%
o	576	7.9%
a	547	7.5%
e	543	7.5%
r	482	6.6%
l	362	5.0%
i	346	4.8%
t	316	4.3%
d	268	3.7%
N	262	3.6%
Other values (39)	2927	40.2%

Common

Value	Count	Frequency (%)
	1014	60.6%
,	535	32.0%
/	104	6.2%
-	17	1.0%
'	1	0.1%
?	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8952	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1014	11.3%
n	651	7.3%
o	576	6.4%
a	547	6.1%
e	543	6.1%
,	535	6.0%
r	482	5.4%
l	362	4.0%
i	346	3.9%
t	316	3.5%
Other values (45)	3580	40.0%

survived
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3682352941

Minimum	0
Maximum	1
Zeros	537
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	6.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	1
Maximum	1
Range	1
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.4826096523
Coefficient of variation (CV)	1.310601292
Kurtosis	-1.704436332
Mean	0.3682352941
Median Absolute Deviation (MAD)	0
Skewness	0.5473387077
Sum	313
Variance	0.2329120765
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=2)

Value	Count	Frequency (%)
0	537	63.2%
1	313	36.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	537	63.2%
1	313	36.8%

Value	Count	Frequency (%)
1	313	36.8%
0	537	63.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	passenger_id	pclass	name	sex	age	sibsp	parch	ticket	fare	cabin	embarked	boat	body	home.dest	survived
0	1216	3	Smyth, Miss. Julia	female	NaN	0	0	335432	7.7333	NaN	Q	13	NaN	NaN	1
1	699	3	Cacic, Mr. Luka	male	38.0	0	0	315089	8.6625	NaN	S	NaN	NaN	Croatia	0
2	1267	3	Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)	female	30.0	1	1	345773	24.1500	NaN	S	NaN	NaN	NaN	0
3	449	2	Hocking, Mrs. Elizabeth (Eliza Needs)	female	54.0	1	3	29105	23.0000	NaN	S	4	NaN	Cornwall / Akron, OH	1
4	576	2	Veal, Mr. James	male	40.0	0	0	28221	13.0000	NaN	S	NaN	NaN	Barre, Co Washington, VT	0
5	1083	3	Olsen, Mr. Henry Margido	male	28.0	0	0	C 4001	22.5250	NaN	S	NaN	173.0	NaN	0
6	898	3	Johnson, Mr. William Cahoone Jr	male	19.0	0	0	LINE	0.0000	NaN	S	NaN	NaN	NaN	0
7	560	2	Sinkkonen, Miss. Anna	female	30.0	0	0	250648	13.0000	NaN	S	10	NaN	Finland / Washington, DC	1
8	1079	3	Ohman, Miss. Velin	female	22.0	0	0	347085	7.7750	NaN	S	C	NaN	NaN	1
9	908	3	Jussila, Miss. Mari Aina	female	21.0	1	0	4137	9.8250	NaN	S	NaN	NaN	NaN	0

Last rows

	passenger_id	pclass	name	sex	age	sibsp	parch	ticket	fare	cabin	embarked	boat	body	home.dest	survived
840	1256	3	Touma, Master. Georges Youssef	male	7.0	1	1	2650	15.2458	NaN	C	C	NaN	NaN	1
841	208	1	Minahan, Mrs. William Edward (Lillian E Thorpe)	female	37.0	1	0	19928	90.0000	C78	Q	14	NaN	Fond du Lac, WI	1
842	709	3	Carr, Miss. Helen "Ellen"	female	16.0	0	0	367231	7.7500	NaN	Q	16	NaN	Co Longford, Ireland New York, NY	1
843	1288	3	Wiklund, Mr. Jakob Alfred	male	18.0	1	0	3101267	6.4958	NaN	S	NaN	314.0	NaN	0
844	165	1	Hoyt, Mr. Frederick Maxfield	male	38.0	1	0	19943	90.0000	C93	S	D	NaN	New York, NY / Stamford CT	1
845	158	1	Hipkins, Mr. William Edward	male	55.0	0	0	680	50.0000	C39	S	NaN	NaN	London / Birmingham	0
846	174	1	Kent, Mr. Edward Austin	male	58.0	0	0	11771	29.7000	B37	C	NaN	258.0	Buffalo, NY	0
847	467	2	Kantor, Mrs. Sinai (Miriam Sternin)	female	24.0	1	0	244367	26.0000	NaN	S	12	NaN	Moscow / Bronx, NY	1
848	1112	3	Peacock, Miss. Treasteall	female	3.0	1	1	SOTON/O.Q. 3101315	13.7750	NaN	S	NaN	NaN	NaN	0
849	425	2	Greenberg, Mr. Samuel	male	52.0	0	0	250647	13.0000	NaN	S	NaN	19.0	Bronx, NY	0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Lowercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values